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Process management system and management method based on big data autonomous learning function

A self-learning and process management technology, applied in the field of process management, can solve the problems of low approval efficiency and time-consuming, etc., achieve the effect of automatic recommendation, reduce learning cost and time, and improve matching rate

Pending Publication Date: 2021-05-18
贵州惠智电子技术有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some approvals will appear repeatedly, such as leave approval. The approval process for this part of the approval is fixed. In the actual use process, it is found that for the approval of the fixed approval process, it needs to be selected again every time it is initiated. When the approval process is long, it takes a long time to select the approval process when the approval is initiated in the early stage, resulting in a decrease in approval efficiency

Method used

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  • Process management system and management method based on big data autonomous learning function

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] A process management system based on big data self-learning function, as attached figure 1 As shown, it includes a storage module, a recommendation judgment module, an information call module, an information display module, an information acquisition module, an information transmission module, a progress recording module and a process arrangement module.

[0040] The storage module is used to associate and store historical transfer information and historical transfer processes. When the recommendation judgment module is used to obtain transfer information, it matches the transfer information with historical transfer information. Specifically, the transfer information includes node information and transfer content, and the historical transfer information includes Information flow time, historical node information and historical flow content. The recommendation judgment module is used for matching according to the circulation information and the historical circulation inf...

Embodiment 2

[0050] The differences between this embodiment and Embodiment 1 are:

[0051] The process management system based on the self-learning function of big data also includes an information statistics module, a template generation module, an information recommendation module, a request statistics module, an audit judgment module and an automatic audit module.

[0052] The storage module is also used to store historical transfer records, which include record name, initiation time, initiation node and transfer information.

[0053] The information statistics module is used to call the historical transfer records of the initiating node, and generate the transfer rules according to the called historical transfer records. Specifically, count the initiation time of the historical transfer records of each record name, and generate the application time period corresponding to each record name of the initiating node.

[0054] The information recommendation module is used to obtain the curre...

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Abstract

The invention relates to the technical field of process management, in particular to a process management system and management method based on a big data autonomous learning function; the system stores historical circulation information and a corresponding historical circulation process in advance, the obtained circulation information is matched with the stored historical circulation information, and when a matched item exists, the corresponding historical circulation process is called, and thus judging whether the called historical circulation process is used in the current process or not. When the historical circulation process is used, information circulation is carried out according to the historical circulation process, and otherwise, the circulation process is obtained for information circulation. And when the information circulation by using the circulation process is finished, the related circulation information and circulation process are stored as historical circulation information and historical circulation process for self-learning. By adopting the scheme, through a self-learning mode, the matching rate of the circulation information and the historical circulation information is improved, automatic recommendation of the circulation process is realized, the circulation efficiency is improved, and meanwhile, the learning cost required for learning online information circulation is reduced.

Description

technical field [0001] The invention relates to the technical field of process management, in particular to a process management system and management method based on a big data self-learning function. Background technique [0002] For modern enterprise management, information flow is an essential work content. For example, approval is a kind of information flow. When an approval is initiated, the initiator uploads and selects the approval subject, approval content, and approval process. However, some approvals will appear repeatedly, such as leave approval. The approval process for this part of the approval is fixed. In the actual use process, it is found that for the approval of the fixed approval process, it needs to be selected again every time it is initiated. If the approval process is long, it will take a long time to select the approval process when the approval is initiated in the early stage, resulting in a decrease in approval efficiency. Therefore, there is an ...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06F16/9535G06F16/9538
CPCG06Q10/103G06F16/9535G06F16/9538
Inventor 罗昌军潘仕益吴如富
Owner 贵州惠智电子技术有限责任公司